Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models
- Resource Type
- Conference
- Authors
- Zhou, Sicheng; Schutte, Dalton; Xing, Aiwen; Chen, Jiyang; Wolfson, Julian; He, Zhe; Yu, Fang; Zhang, Rui
- Source
- 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI) ICHI Healthcare Informatics (ICHI), 2021 IEEE 9th International Conference on. :513-514 Aug, 2021
- Subject
- Computing and Processing
Conferences
Bit error rate
Medical services
Transformers
Informatics
Electronic medical records
Alzheimer's disease
BERT
Natural language processing
Dietary supplements
EHR
MCI
ADRD
- Language
- ISSN
- 2575-2634
The roles of dietary supplement (DS) usage on disease progression of patients with cognitive impairments remain unclear. Transformed-based language models were trained to identify DS use status from clinical notes among patients with Alzheimer’s disease and related dementias (ADRD). The best name entity recognition for DS achieved F1-score is 0.964 and the PubMed BERT based use status classifier achieved the weighted F1-score of 0.879. Integrating with DS use from medication table, we identified totally 125 unique DS among patients with mild cognitive impairment (MCI) only and 108 unique DS among patients who progressed to ADRD.